Minerals Technologies (MTX) Return on Sales [ROS] (2009 - 2026)
Minerals Technologies (MTX) posted Return on Sales [ROS] of -40.17% for Q2 2026, down 54.28 percentage points from 14.10% a year earlier and down 50.90 percentage points from the prior quarter.
Minerals Technologies (MTX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 5, 2026, Return on Sales [ROS] at Minerals Technologies was -1.34%, down 4.98 percentage points year-over-year; for FY2025, it was 2.29%, down 11.24 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -9.50 percentage points (FY2020 to FY2025).
- In prior years, Minerals Technologies' Return on Sales [ROS] was 13.52% in FY2024 (+5.61 pp), 7.92% in FY2023 (-2.19 pp), 10.11% in FY2022 (-2.58 pp) and 12.68% in FY2021 (+0.90 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q2 2009.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -4.86 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 43.29 percentage points; the weakest was Q2 2026, with a drop of 54.28 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 10.73% (Q1 2026), 11.93% (Q4 2025) and 13.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | 6.29% |
| 10 | Minerals Technologies | 2.03 Bn | 735.27 Mn | 133.80 Mn | -40.17% |
Historic Data
| Date | Value |
|---|---|
| Jul 5, 2026 | -40.17% |
| Apr 5, 2026 | 10.73% |
| Dec 31, 2025 | 11.93% |
| Sep 28, 2025 | 13.32% |
| Jun 29, 2025 | 14.10% |
| Mar 30, 2025 | -32.55% |
| Dec 31, 2024 | 16.23% |
| Sep 29, 2024 | 14.60% |
| Jun 30, 2024 | 9.35% |
| Mar 31, 2024 | 14.07% |
| Dec 31, 2023 | 12.74% |
| Oct 1, 2023 | -1.44% |
| Jul 2, 2023 | 9.05% |
| Apr 2, 2023 | 11.54% |
| Dec 31, 2022 | 8.59% |
| Oct 2, 2022 | 6.57% |
| Jul 3, 2022 | 12.46% |
| Apr 3, 2022 | 12.75% |
| Dec 31, 2021 | 11.03% |
| Oct 3, 2021 | 12.81% |
Minerals Technologies Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=MTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=MTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();